摘要
The Shape Context is not rotation-invariant as the gesture features, and the computational cost is expensive. In this paper, a novel method named as Shape Context based on the key points is proposed. The contour points with larger curvature are looked as key points, and the direction of the key point is described as x-axis direction, then Shape Context feature histogram is calculated. These make features translation, scaling and rotation invariant and reduce the time complexity. Meanwhile, the experiments show the method is effective and efficiency in the real-time system.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology |
| 页 | 577-585 |
| 页数 | 9 |
| DOI | |
| 出版状态 | 已出版 - 2013 |
| 活动 | 2012 International Conference on Information Technology and Software Engineering, ITSE 2012 - Beijing, 中国 期限: 8 12月 2012 → 10 12月 2012 |
出版系列
| 姓名 | Lecture Notes in Electrical Engineering |
|---|---|
| 卷 | 212 LNEE |
| ISSN（印刷版） | 1876-1100 |
| ISSN（电子版） | 1876-1119 |
会议
| 会议 | 2012 International Conference on Information Technology and Software Engineering, ITSE 2012 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 8/12/12 → 10/12/12 |
指纹
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Zhang, S., Ma, L., & Wang, J. (2013). A framework of static hand shape recognition system. 在 Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology (页码 577-585). (Lecture Notes in Electrical Engineering; 卷 212 LNEE). https://doi.org/10.1007/978-3-642-34531-9_61